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Shown above is a Fully Interactive Sales Logistics Live Dashboard with tooltips and Drill through features enabled on, line graph and stacked column chart. In addition to the original data, several calculated columns and DAX-based measures have been created for better Analysis, For eg - The Difference between Order Date and Delivery Date.
The Above dashboard focuses mainly on Logistics cost, Delivery days, Sales, Total orders and Total Customers and all this data can be filtered by State, product, and Logistics partner.
Dataset has been downloaded from Kaggle.com and it is a public data set.
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Shown above is a Sales - Product - Employee Dashboard with page transition features, Upon clicking on the hamburger menu the overlay section expands so that the user can select from the 3 given reports, upon selecting anyone, the overlay section contracts and full dashboard is visible to the end-user.
The above dashboard is fully interactive with all the slicers and filters synced to all the pages of the dashboard. This dashboard mainly focuses mainly on Sales Overview, Product Overview, and Employee Overview Sections and the data can be filtered by country, product, and date.
This practice Dataset used has been downloaded from public OData feed source - https://services.odata.org/V3/Northwind/Northwind.svc/
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Shown above is a Customer overview Dashboard, here information regarding the customer is categorized and visualized for deriving meaningful insights.
Also, in addition, information like Age, Income, Purchase Recency have been placed into separate buckets using DAX.
Slicers and Dropdown for all the fields have been provided for filtering, making it fully interactive and insightful.
Dataset used has been downloaded from kaggle.com and it is a public data set.
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Shown above is a Road Casualties Dashboard, with basic slicers and an integrated map chart highlighting the state. selected, here Important KPI has been highlighted at the center.
Drill through and tooltips are enabled on to line chart & Map.
Dataset used has been downloaded from kaggle.com and it is a public data set.
Email - katirakunal@gmail.com
Phone - 7021308582
Linked in - https://www.linkedin.com/in/KunalKatira/